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tenkus47
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Jul 20, 2026
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- Introduced new configuration parameters for audio job processing, including SQS queue settings.
- Added an enumeration for audio job statuses to track job progress (PENDING, PROCESSING, COMPLETED, FAILED).
- Updated the MongoDB database management to integrate an audio SQS consumer for handling audio jobs asynchronously.
- Introduced new configuration parameters for audio job processing, including SQS queue settings. - Added an enumeration for audio job statuses to track job progress (PENDING, PROCESSING, COMPLETED, FAILED). - Updated the MongoDB database management to integrate an audio SQS consumer for handling audio jobs asynchronously.
…ement - Removed direct database interactions for audio job status updates and replaced them with calls to a new backend service. - Introduced a backend client for fetching and updating audio job statuses asynchronously. - Updated unit tests to reflect changes in the audio job processing logic, ensuring proper handling of job states (PENDING, PROCESSING, COMPLETED, FAILED). - Deleted obsolete audio job model and repository files as they are no longer needed.
…rieval and processing - Updated the audio generation service to fetch plan day and subtask data from the backend API instead of directly accessing the database. - Refactored audio segment generation and timestamp handling to align with the new data structure. - Introduced new backend client methods for audio job result application and payload retrieval. - Improved unit tests to reflect changes in the audio generation logic and ensure proper integration with the backend services.
- Introduced `TestUploadDayAudio` to validate the key generation for uploaded audio files. - Added `TestParseHelpers` class with tests for UUID parsing, audio type normalization, voice name handling, and result normalization. - Enhanced existing tests for audio job processing to cover additional edge cases and error handling scenarios.
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